The CMT Research Foundation is funding a novel digital-endpoint project with Dr.

Wolfgang Pernice at Columbia University to enable more sensitive, quantitative measurement of motor function in CMT. This work leverages an advanced artificial intelligence (AI) platform, DANCER, which can derive highly accurate 3D whole‑body reconstructions from simple 2D videos captured on any smartphone. By extracting detailed gait and movement metrics from these videos, DANCER has the potential to generate objective, reproducible outcome measures that could help close a critical endpoint gap in CMT clinical trials. Because the technology is designed to work without special calibration and in non‑clinical settings, it could ultimately allow patients to contribute high‑quality data from home, increasing trial feasibility and reducing timelines and real‑world relevance. Join us for a live discussion to hear how this approach could transform CMT drug development and what it may mean for both researchers and people living with CMT. Register: cmtrf.org/webinars